Parallel Implementation Strategy for Content Based Video Copy Detection Using a Multi-core Processor

• Kaiyang Liao,
• Fan Zhao,
• Mingzhu Zhang,

Vol. 8, No. 10, October 30, 2014
10.3837/tiis.2014.10.014, Download Paper (Free):

• Large-scale indexing
• parallel video copy detection
• parallel video retrieval
• parallel clustering

Abstract

Video copy detection methods have emerged in recent years for a variety of applications. However, the lack of efficiency in the usual retrieval systems restricts their use. In this paper, we propose a parallel implementation strategy for content based video copy detection (CBCD) by using a multi-core processor. This strategy can support video copy detection effectively, and the processing time tends to decrease linearly as the number of processors increases. Experiments have shown that our approach is successful in speeding up computation and as well as in keeping the performance.

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